Arid
DOI10.1007/s12518-021-00363-6
Modeling of spatially distributed infiltration in the Iraqi Western Desert
Muneer, Ahmed Shahadha; Sayl, Khamis Naba; Kamal, Ammar Hatem
通讯作者Muneer, AS (corresponding author), Univ Anbar, Coll Engn, Dept Dams & Water Resources Engn, Univ Campus, Ramadi, Anbar, Iraq.
来源期刊APPLIED GEOMATICS
ISSN1866-9298
EISSN1866-928X
出版年2021
英文摘要Infiltration process tends to be one of the most essential elements of the hydrological cycle. Comprehensive and thorough information on soil infiltration in both temporal and spatial territories can support maintaining environmental and hydrological development. Traditional methods to measure soil infiltration are costly, time-consuming, and their facility to regain the spatial and temporal inconsistency, particularly in large scale areas. In this context, remote sensing is capable of providing meaningful information for counting preliminary soil infiltration on various spatial scales via spectral reflectance variability. The present study aims at developing a mathematical model to determine the spatially distributed infiltration using artificial neural networks (ANN) combined with geographical information system (GIS), remote sensing (RS), and field infiltration measurements using a double ring infiltrometer in the Wadi Al-Ratga in the Iraqi western desert. The performance of the proposed model was assessed both qualitatively and quantitatively by comparing the results measured against estimated infiltration rate values for each sample. The distribution of estimated infiltration rate values in dry season varies from 56 to 215 mm/h while the distribution of estimated IR values in wet season varies from 12 to 27 mm/h. The results indicate a good agreement between estimated and measured infiltration (R-2 = 0.8443, mean absolute percent error (MAPE) = 0.0996, root mean square error (RMSE) = 16.8 mm/h, and relative error (RE) less than 20%). Therefore, this comparative method plays for a considerable role in detecting and mapping soil infiltration by providing timely, fast, reparative, and relatively cheap data.
英文关键词Infiltration rate Double ring infiltrometer ANN model RS GIS ASAR
类型Article ; Early Access
语种英语
收录类别ESCI
WOS记录号WOS:000623699300001
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/353002
作者单位[Muneer, Ahmed Shahadha; Sayl, Khamis Naba; Kamal, Ammar Hatem] Univ Anbar, Coll Engn, Dept Dams & Water Resources Engn, Univ Campus, Ramadi, Anbar, Iraq
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GB/T 7714
Muneer, Ahmed Shahadha,Sayl, Khamis Naba,Kamal, Ammar Hatem. Modeling of spatially distributed infiltration in the Iraqi Western Desert[J],2021.
APA Muneer, Ahmed Shahadha,Sayl, Khamis Naba,&Kamal, Ammar Hatem.(2021).Modeling of spatially distributed infiltration in the Iraqi Western Desert.APPLIED GEOMATICS.
MLA Muneer, Ahmed Shahadha,et al."Modeling of spatially distributed infiltration in the Iraqi Western Desert".APPLIED GEOMATICS (2021).
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